Image quality assessment using reduced-reference nonlinear model

Author

Bordevic, Dragana ; Kukolj, Dragan ; Pokric, Maja ; Ostojic, I.

Author_Institution

RT-RK Inst. for Comput. Based Syst., Novi Sad, Serbia

fYear

2013

fDate

26-28 Sept. 2013

Firstpage

167

Lastpage

170

Abstract

This paper presents a reduced-reference nonlinear model driven image quality scheme that is based on a Neural Network statistical estimator, namely Multilayer Perceptrons (MLP) and that is optimized to the Mean Opinion Score (MOS) scale for the combination of input different objective quality measures. In order to examine the performance of the models and identification of how well the model estimates the MOS as a reference model, a linear model is chosen. Also, in this paper is analyzed the effects of an input measures selection on the quality of the MOS estimation.

Keywords

image sequences; neural nets; statistical analysis; MLP; MOS; image quality assessment; image quality scheme; image sequence; linear model; mean opinion score; multilayer perceptrons; neural network statistical estimator; reduced reference nonlinear model; video sequence; Image quality; Measurement; Neural networks; Nonlinear distortion; Predictive models; Quality assessment; Transform coding; Image Quality Assessment; Mean Opinion Score; Reduced-reference Model;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Systems and Informatics (SISY), 2013 IEEE 11th International Symposium on

Conference_Location

Subotica

Print_ISBN

978-1-4799-0303-0

Type

conf

DOI

10.1109/SISY.2013.6662562

Filename

6662562